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In this paper, we focus on sparsity-based space-time adaptive processing (STAP) in airborne radar with compressive sampling both in Doppler and spatial domains. Compared with the uniform pluses repetition Frequency (UPRF) and uniform arrays (UA) radar, the designed radar transmits random pulse repetition interval pulses and receives the returns with random arrays, which reduces the number of pulses...
Speech enhancement with sparse nonnegative matrix factorization and priors of noise is proposed to enhance speech contaminated by non-stationary noise. The proposed algorithm contains two steps. Firstly, the priori information about the spectrum of noise is modeled using sparse nonnegative matrix factorization algorithm and the dictionary of noise is constructed. Then, we estimate the statistical...
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